Maria Matveev

Maria is a PhD student at the Bavarian AI Chair for Mathematical Foundations of Artificial Intelligence at LMU and the Munich Center for Machine Learning. Her research focuses on understanding the training dynamics that contribute to generalization, a key factor in ensuring the reliability of neural networks.

Maria earned her Bachelor’s in Mathematics at University of Bonn, and her Master’s degree in Mathematics in Data Science at Technical University of Munich. During her studies, she gained international exposure from academic stays in Zurich, Gothenburg and Osaka, as well as Machine Learning industry experience at Google, Fraunhofer Society and two startups. In 2024, she won the Civic Engagement award of the German Academic Scholarship Foundation (Studienstiftung) for co-founding and chairing the non profit organization

relAI Topics: Mathematical and Algorithmic Foundations, Safety